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Updated: Jun 16, 2026
EEG Mu Rhythm in Typical and Atypical Development
Published on: April 9, 2014
EEG signatures of motor development in early childhood: a systematic review
Sonia Khurana1, Ashwini Kulkarni2, Thomas C Bulea3
1Ellmer College of Health Sciences Macon & Joan Brock Virginia Health Sciences at Old Dominion University, Norfolk, VA, USA. skhurana@odu.edu.
Insights
Electroencephalography (EEG) shows promise for tracking early motor development in children. Mu rhythm desynchronization is a key neural marker for typical motor maturation and assessment.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Biomedical Engineering
Background:
- Early identification of motor developmental disorders is hindered by the lack of objective neural markers.
- Existing methods struggle to characterize typical neurodevelopmental patterns in early childhood.
- There is a need for reliable benchmarks for early assessment and intervention.
Purpose of the Study:
- To synthesize existing evidence on electroencephalography (EEG) signatures associated with motor development in children aged 0-5 years.
- To propose a framework of EEG signatures for early assessment and intervention.
- To establish potential neural benchmarks for typical motor development.
Main Methods:
- Systematic review following PRISMA guidelines, searching published and gray literature across five databases (2000-2025).
- Included studies examined EEG during task-based, resting-state, or sleep conditions linked to motor milestones or performance.
- Study quality was assessed using the NIH tool.
Main Results:
- Mu rhythm desynchronization (6-13 Hz) was the most common marker of motor maturation, with its peak frequency increasing with age.
- Motor experience enhanced neural responses, and sleep features (slow-wave activity, spindles) predicted future motor outcomes.
- Beta oscillations were linked to action prediction and coordination.
Conclusions:
- EEG is a promising non-invasive tool for tracking early motor development in children.
- Mu rhythm desynchronization is a key correlate of early motor development.
- Methodological standardization is needed for reliable identification of atypical development and intervention monitoring.
Background:
Early identification of motor developmental disorders is limited due to lack of objective neural markers that characterize typical neurodevelopmental patterns. This systematic review interprets and synthesizes existing evidence to propose a framework of EEG signatures associated with motor development in children aged 0-5 years, which may help inform future benchmarks for early assessment and intervention.
Methods:
Following PRISMA guidelines, we searched published and gray literature across five databases between 2000 and 2025 (registered protocol). Included studies examined EEG during task-based, resting-state, or sleep studies linked to motor milestones, task performance, or standardized motor assessments. Study quality was assessed using the NIH tool.
Results:
From 35 studies including 1107 neurotypical children, we identified four study types: action observation, action execution, combined observation/execution, and resting/sleep EEG. Mu rhythm desynchronization (6-13 Hz) emerged as the most common marker of motor maturation, with mu peak increasing from 6-9 Hz in infants to 8.5-10 Hz in preschoolers. Motor experience strengthened neural responses, sleep features (slow-wave activity and spindles) predicted future motor outcomes, and beta oscillations supported action prediction and coordination.
Conclusion:
EEG shows promise as a non-invasive tool for tracking early motor development. However, methodological heterogeneity underscores the need for standardized research before EEG can reliably identify atypical development or monitor intervention response.
Impact:
This review synthesizes EEG signatures in children 0-5 years and shows that mu rhythm desynchronization (6-13 Hz) is the most common correlate of early motor development. First review to combine task-based EEG (watching and doing actions) with resting and sleep EEG in this age group. This review identifies EEG features, including alpha and beta rhythms, slow-wave activity, spindles, and connectivity patterns linked to motor skills, suggesting their potential as early objective correlates of typical motor development.
